A genetic algorithm to solve the thermal unit commitment problem

In this paper, a genetic algorithm (GA) is proposed to solve the thermal unit commitment (UC) problem. The objective of UC is to determine the optimal generation of the committed units to meet the load demand and spinning reserve at each time interval, such that the overall cost of generation is minimised, while satisfying different operational constraints. The results obtained show that, with the application of the proposed method (GA) to the unit commitment problem, better convergences and solutions are obtained than with other metaheuristic algorithms.

Most popular related searches

Related articles

Why Monitor Gas and Thermal Energy?
Hang on, are you telling me you are an energy manager that’s only worried about electricity!? Let’s take a step back and realise that gas represents nearly 40% of the total energy consumed in the industrial and service sectors in Europe. That’s almost half, you guys!
And it’s no wonder – we need gas for heating, but also cooking and countless industrial processes. Plus, gas is60% cheaper than electricity in the majority of European countries...

In today’s world where everyone is watching the bottom line, you need high performance, cost-effective instrumentation—and capillary thermalmass flow meters and controllers have been proven to meet this criteria in a wide range of process applications.
Thermal mass flow technology is an industry standard for mass flow control of gases because it measures flow directly, at the molecular level. In most processes flowing gases like Air,Argon, CO2, N2, Etc., it is gas mass, not gas volume, which is the...

Earlier this year, the Environmental Protection Agency (EPA) published Regulation 40 CFR, Part 60, Sub-part OOOOa, commonly known as Quad Oa, and finally brought optical gas imaging (OGI) firmly into the mainstream. This presents a major shift in the way fugitive emissions are regulated, and the technology that can be used.
Detecting and acting on gas leaks is naturally a major concern for oil and gas operators, and a challenging problem to address. OGI technology started to play a role about ten years ago, when...

A flexographic printer recently installed a TRITON Regenerative Thermal Oxidizer from Catalytic Products International, Inc. The TRITON system was contracted on a turnkey basis, in which CPI engineered and installed; the fugitive enclosure system to meet method 204, the ductwork system from all presses, foundation work, electrical integration, and rigged the oxidizer. The project was installed on time and without any added costs.The features and benefits offered by the TRITON System include:
Posi-Seal Valves...

It’s in the news every day; the natural gas production industry is experiencing record growth. The gas reserves in the United States are thought to hold enough natural gas for hundreds of years and the gas and oil industry has improved extraction techniques that make gas production more affordable and less impactful on the landscape. Good news for the country and our environment.The Midstream ProcessMidstream Gas processing plants are complicated production facilities. These plants process large quantities...

Customer comments

No comments were found for A genetic algorithm to solve the thermal unit commitment problem. Be the first to comment!